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For Companies At a Glance
- Tasks: Join a team to develop and deploy cutting-edge AI architectures.
- Company: Ascendion, a leader in AI-first software engineering services.
- Benefits: Remote/hybrid work options, competitive salary, and a vibrant culture.
- Why this job: Make an impact in the AI field with innovative projects and technologies.
- Qualifications: Proficiency in Python and experience with agentic AI architectures required.
- Other info: Join a diverse team with opportunities for growth and community service.
The predicted salary is between 36000 - 60000 £ per year.
Ascendion is looking for an AI Engineer to join a team with hands-on experience in developing and deploying agentic AI architectures.
Required Skills:
- Strong proficiency in Python and related libraries.
- Experience with agentic AI architectures and autonomous AI agents.
- Hands-on experience with LangGraph or similar orchestration frameworks.
- Understanding of AI lifecycle: prompt engineering, agent workflows, deployment, and monitoring.
- Familiarity with LLMs and multi-agent systems.
About Us:
Ascendion is a leading provider of AI-first software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have 30+ offices across the U.S., UK, Poland, Romania, India, Australia and Mexico. We are committed to building technology powered by Generative AI with an inclusive workforce, service to our communities, and a vibrant culture.
AI Engineer in London employer: Ascendion
Contact Detail:
Ascendion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the hunt for an AI Engineer role. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to agentic AI architectures and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the AI lifecycle and multi-agent systems. Be ready to discuss your hands-on experience with frameworks like LangGraph, as this will demonstrate your expertise.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong proficiency in Python and any experience you have with agentic AI architectures. We want to see how your skills align with what we're looking for!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements mentioned in the job description. It shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences at a glance.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Ascendion
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially the libraries relevant to AI. Be ready to discuss your past projects and how you've used Python in developing agentic AI architectures.
✨Familiarise Yourself with Agentic AI
Dive deep into the concepts of agentic AI architectures and autonomous AI agents. Prepare to explain how you've implemented these in previous roles or projects, as this will show your hands-on experience.
✨Understand the AI Lifecycle
Get a solid grasp of the AI lifecycle, including prompt engineering and agent workflows. Be prepared to discuss how you approach deployment and monitoring, as this knowledge is crucial for the role.
✨Showcase Your Experience with Orchestration Frameworks
If you've worked with LangGraph or similar orchestration frameworks, be ready to share specific examples. Discuss how these tools have helped you streamline processes or improve efficiency in your projects.
